Triple

T5685730
Position Surface form Disambiguated ID Type / Status
Subject Battle of Xiang River E125308 entity
Predicate commanderSide2 P32311 FINISHED
Object Wei Lihuang E121218 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wei Lihuang | Statement: [Battle of Xiang River, commanderSide2, Wei Lihuang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wei Lihuang
Context triple: [Battle of Xiang River, commanderSide2, Wei Lihuang]
  • A. Wei Lihuang chosen
    Wei Lihuang was a prominent Nationalist Chinese general best known for his leadership of Chinese forces against Japan during the Second Sino-Japanese War and World War II.
  • B. Liu Tsong
    Liu Tsong, better known by her stage name Anna May Wong, was a pioneering Chinese American film actress and the first major Asian American movie star in Hollywood.
  • C. Liu Cunhou
    Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
  • D. Zhu Houxi
    Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
  • E. Liang Juhao
    Liang Juhao was a military commander known for leading forces in the Battle of Toungoo during the conflicts between Chinese and Burmese forces in the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023ba52b48190b94f8a3ecff61eb4 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a40b3808190bc57fde5990ac04e completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.